1546-9735
Published by: Biodiversity Institute & Natural History Museum
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Ecology and Evolution | 401 | 39 | 17 | 9 |
The main research concerns discussed in the journal are Biodiversity, World Wide Web, Data science, Ecology and Environmental niche modelling. It explores Biodiversity concepts, specifically Biodiversity informatics and Global biodiversity but expands to research in Data quality and Data records. The research topics discussed in the journal include Biodiversity informatics as well as Informatics.
Metadata research are fields of study within World Wide Web but they also intertwine with concepts in Natural history, Global strategy and Action plan. Research on Metadata addressed in it frequently intersections with the field of RDF. The tackled Data science research is interrelated with Database which concerns subjects like Web service.
Taxon and Species distribution are all disciplines of Ecology that connect with topics in Variable (computer science). The Environmental niche modelling study featured falls within the wider field of Ecological niche. Ecological niche research presented in it encompasses a variety of subjects, including Global warming and Ecology (disciplines).
The most cited articles aim to foster the development of research in Ecological niche, Environmental niche modelling, Biodiversity, Ecology and Data science. The published articles in Global biodiversity and Biodiversity informatics fall within the purview of Biodiversity but it also intertwines with topics in Data quality. The published papers facilitate discussions in Ecology (disciplines) and Geographic distribution as part of the larger field of Ecology, however, they also tackle fields such as Transferability, Structure (mathematical logic) and Systematics.
The journal is organized to address concerns in the fields of Species richness, Presence absence, Similarity (network science), Evolutionary biology and Curculionidae. Biodiversity Informatics facilitates the exploration of Curculionidae in relation to the other disciplines, such as Open source, Big data mining, Multi species, Inference and Bark beetle. Biodiversity Informatics held discussions to help close the divide between two different fields of study: Open source and Agroforestry.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Biodiversity Informatics (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Biodiversity Informatics (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Jane Elith;Catherine H. Graham;Roozbeh Valavi;Meinrad Abegg
(2020)Carlos Yañez;Gerardo Martín;Luis Osorio-Olvera;Jazmín Escobar-Luján
(2020)A. Townsend Peterson;Jorge Soberón;Janine Ramsey;Luis Osorio-Olvera
(2020)Robert D. Holt
(2020)Khodabakhsh Zabihi;Falk Huettmann;Brian Young
(2021)Tad A. Dallas;Luca Santini;Robin Decker;Alan Hastings
(2020)Christopher Rhodes Stephens;Constantino Gonzalez-Salazar;Maricarmen Villalobos;Pablo Marquet
(2020)Exploring Ecology and Evolution opens doors to diverse career options, many of which benefit from specialized online education. For those interested in health data analysis within ecological research, pursuing online health information management degree programs cahiim accredited offers a strong foundation in managing biological data and health information systems.
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For those focused on medical coding and healthcare administration linked to ecological studies, understanding the differences between certification types is crucial. Comparing the roles of a certified professional coder can guide career decisions within the health information field.
Additionally, professionals with a master's degree aiming to specialize further might consider post masters fnp certification programs. These credentials enhance clinical capabilities, supporting roles that integrate evolutionary and ecological knowledge in healthcare settings.
